Study on applicability of remote sensing precipitation products in hilly-plain-wetland complex area of northeast China

Abstract

For the hilly-plain-wetland complex ecosystem in the cold region of Northeast China, in order to solve the problems, which include the scarcity of surface rainfall stations and the inability to provide accurate surface precipitation for hydrological process simulation, based on the observed precipitation of rainfall stations, three remote sensing precipitation products are taken as objects of evaluation. They include TRMM (Tropical Rainfall Measuring Mission) 3B42V7,3B42RT and CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data,CHIP). In this paper, the observation data of rainfall stations and IDWP precipitation data interpolated by IDW (Inverse Distance Weighted) are used as true value of precision comparison, and the detection accuracy of remote sensing precipitation products from 2001 to 2010 is evaluated on the time scale (day, month and quarter) and spatial scale in Naoli River Basin.The results of the study indicated that 3B42V7 and CHIP have a high detection accuracy for precipitation, and their CC (correlation coefficient) values are 0.47 and 0.49 respectively in daily time scale. The accuracy of their observation for monthly precipitation is better than that of daily precipitation, and the CC are 0.85 and 0.87 respectively. The multi-year average precipitation at different grid positions in the basin is overestimated by 3B42RT, and its evaluation results are poor at different time scales. For the precipitation intensity range of (0,20], the observed results of 3B42V7 and rainfall station are close to each other. For the precipitation intensity ranges of (0,1) and (50,+∞), 3B42RT and CHIP have overestimated or underestimated the precipitation in different degrees. Based on the above analysis results, 3B42RT can be considered as data that can detect whether precipitation occurs on different spatial positions in the basin. 3B42V7 and CHIP can be applied to flood forecasting and non-point source pollution control in cold regions.

Generation of Flows Applying a Simple Method of Flood Routing to Monthly Level in La Leche Basin, Peru

“…Then, the flood routing distribution maps were generated (Figure 8), in order to adequately visualize the flow ranges obtained for the return periods of 5 years (Figure 8a), 25 years (Figure 8b), 50 years (Figure 8c) and 100 years (Figure 8d). An interpolation method based on inverse distance weighting (IDW) was used for this analysis (Wang et al, 2022). This IDW technique is appropriate when there is a need to quantify values in areas where data are not available, as it correlates them with stations that do have complete values, much wider ranges of the meteorological variable under study can be obtained (Arriola et al, 2022;Tan et al, 2021;Vargas et al, 2021).…”

Spatiotemporal Changes and Hazard Assessment of Hydrological Drought in China Using Big Data

“…In future studies, hydrological data from 2015 to 2022 will also be considered using another product. evaluated the applicability of monthly precipitation data from the GLDAS-2.0 in China, and the results proved that the GLDAS-2.0 rainfall data used in study have good consistency and data quality, and good applicability [39]. also evaluated the applicability of hydrological products of the GLDAS Noah model in China, and the results showed that the quality of the hydrological products of the GLDAS-2.0 is higher than that of the GLDAS-1.0, and the runoff products of the GLDAS-2.0 have better applicability and can be applied to the relevant research in China [40].…”

Planning response to flood disaster based on spatial and temporal simulation of rainfall and flood in county urban watershed

“…At present, the integration of spatial information technology with RS and GIS as the core of hydrodynamic simulation has been fully applied to land spatial planning, flood control and waterlogging drainage and other special ecological security planning. Swat, HEC-HMS, Xin'anjiang model and other models have been applied to the study of watershed simulation and have obtained rich research results [7][8][9] The SCS model proposed by the soil conservation agency of the United States Department of agriculture includes two modules of runoff generation and confluence [10] , which summarizes the impact and contribution of many environmental factors into a spatial parameter (CN value [11] ). The calibration of SCS model is relatively easy and reliable [12] , and previous studies have accumulated [13] , which has high runoff simulation accuracy in small watersheds [14] .…”